View source: R/transforms_to_gma.R
calc_bilateral_trade_df_gma | R Documentation |
The function calculates the bilateral trade data associated to a .tidy_iea_df
, using the Global Market Assumption.
calc_bilateral_trade_df_gma(
.tidy_iea_df,
year = IEATools::iea_cols$year,
method = IEATools::iea_cols$method,
energy_type = IEATools::iea_cols$energy_type,
last_stage = IEATools::iea_cols$last_stage,
country = IEATools::iea_cols$country,
provenience = "Provenience",
matnames = "matnames",
Share_Exports_By_Product = "Share_Exports_By_Product"
)
.tidy_iea_df |
The |
year, method, energy_type, last_stage |
See |
country |
The name of the column in the output data frame that receives the flow,
i.e. the importing country for a given flow.
Default is |
provenience |
The name of the column in the output data frame that originates the flow, i.e. the exporting country for a given flow. Default is "Provenience". |
matnames |
The column name for matrices names.
Default is |
Share_Exports_By_Product |
The name of the column containing the share of exports by country, for each product. Default is "Share_Exports_By_Product". |
A column specifying matrix name for each flows needs to be added before, most likely using the IEATools::add_psut_matnames()
function.
A data frame that represents the bilateral trade data associated to the input .tidy_iea_df
,
using the Global Market Assumption.
tidy_AB_data %>%
IEATools::add_psut_matnames() %>%
calc_bilateral_trade_df_gma() %>%
print()
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